AIMC Topic: Patient Discharge

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Single-port Mini-Pfannenstiel Robotic Pyeloplasty: Establishing a Non-narcotic Pathway Along With a Same-day Discharge Protocol.

Urology Oct 26, 2021
OBJECTIVE: To analyze the feasibility of a same day discharge protocol following single-port (SP) robotic pyeloplasty.
Robotic Surgical Procedures Patient Discharge Analgesics, Opioid Humans Kidney Robotics
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The Potential Cost-Effectiveness of a Machine Learning Tool That Can Prevent Untimely Intensive Care Unit Discharge.

Value in health : the journal of the International Society for Pharmacoeconomics and Outcomes Research Oct 22, 2021
OBJECTIVES: The machine learning prediction model Pacmed Critical (PC), currently under development, may guide intensivists in their decision-making process on the most appropriate time to discharge a patient from the intensive care unit (ICU). Given...
Cost-Benefit Analysis Decision Making Humans Patient Discharge Markov Chains Patient Readmission Netherlands Machine Learning Models, Economic Quality-Adjusted Life Years Intensive Care Units
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Improved Prediction of Older Adult Discharge After Trauma Using a Novel Machine Learning Paradigm.

The Journal of surgical research Oct 7, 2021
BACKGROUND: The ability to reliably predict outcomes after trauma in older adults (age ≥ 65 y) is critical for clinical decision making. Using novel machine-learning techniques, we sought to design a nonlinear, competing risks paradigm for prediction...
Aged Hospital Mortality Bayes Theorem Patient Discharge Humans Machine Learning Retrospective Studies
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Predicting outcome of daycare cognitive behavioural therapy in a naturalistic sample of patients with PTSD: a machine learning approach.

European journal of psychotraumatology Sep 24, 2021
BACKGROUND: Identifying predictors for treatment outcome in patients with posttraumatic stress disorder (PTSD) is important in order to provide an effective treatment, but robust and replicated treatment outcome predictors are not available up to now...
Male Stress Disorders, Post-Traumatic Cognition Machine Learning Female Adult Humans Treatment Outcome Patient Discharge Cognitive Behavioral Therapy
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Machine learning based early mortality prediction in the emergency department.

International journal of medical informatics Sep 8, 2021
BACKGROUND: It is a great challenge for emergency physicians to early detect the patient's deterioration and prevent unexpected death through a large amount of clinical data, which requires sufficient experience and keen insight.
Electronic Health Records Female Child Emergency Service, Hospital Patient Discharge Patient Admission Humans Machine Learning
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Implementing an Individual-Centric Discharge Process across Singapore Public Hospitals.

International journal of environmental research and public health Aug 17, 2021
Singapore is one of the first known countries to implement an individual-centric discharge process across all public hospitals to manage frequent admissions-a perennial challenge for public healthcare, especially in an aging population. Specifically,...
Artificial Intelligence Hospitalization Aged Humans Hospitals, Public Length of Stay Singapore Patient Discharge
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Daily estimates of individual discharge likelihood with deep learning natural language processing in general medicine: a prospective and external validation study.

Internal and emergency medicine Jul 31, 2021
Machine learning, in particular deep learning, may be able to assist in the prediction of the length of stay and timing of discharge for individual patients. Artificial neural networks applied to medical text have previously shown promise in this are...
Patient Discharge Prospective Studies Deep Learning Natural Language Processing Machine Learning Algorithms Humans
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Comparison of Supervised Machine Learning Algorithms for Classifying of Home Discharge Possibility in Convalescent Stroke Patients: A Secondary Analysis.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association Jul 26, 2021
OBJECTIVES: Classifying the possibility of home discharge is important during stroke rehabilitation to support decision-making. There have been several studies on supervised machine learning algorithms, but only a few have compared the performance of...
Discriminant Analysis Patient Discharge Stroke Middle Aged Support Vector Machine Decision Trees Supervised Machine Learning Stroke Rehabilitation Databases, Factual Prognosis Female Aged Aged, 80 and over Male Humans Decision Support Techniques
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Machine Learning Algorithm Identifies the Importance of Environmental Factors for Hospital Discharge to Home of Stroke Patients using Wheelchair after Discharge.

Journal of stroke and cerebrovascular diseases : the official journal of National Stroke Association May 21, 2021
BACKGROUND AND PURPOSE: Physical environmental factors are generally likely to become barriers for discharge to home of wheelchair users, compared with non-wheelchair users. However, the importance of environmental factors has not been investigated a...
Clinical Decision-Making Female Aged Aged, 80 and over Male Treatment Outcome Machine Learning Decision Support Techniques Stroke Rehabilitation Databases, Factual Humans Wheelchairs Self-Help Devices Mobility Limitation Stroke Activities of Daily Living Housing Environment Design Disability Evaluation Patient Discharge
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Blending Knowledge in Deep Recurrent Networks for Adverse Event Prediction at Hospital Discharge.

AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science May 17, 2021
Deep learning architectures have an extremely high-capacity for modeling complex data in a wide variety of domains. However, these architectures have been limited in their ability to support complex prediction problems using insurance claims data, su...
Humans Hospitals Neural Networks, Computer Patient Discharge Machine Learning
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